Multi-signal detection and combination of audio-based data transmissions

ABSTRACT

Methods and systems for detecting and combining audio transmissions containing data are provided. In one embodiment, a method is provided that includes receiving multiple audio signals from multiple receivers. An audio transmission may be detected in a first subset of the audio signals and the audio transmission may contain data. A second subset of the audio signals may be identified with the strongest magnitude of the audio transmission. Portions of the second subset of the audio signals may then be combined to generate a combined audio transmission signal and the combined audio transmission signal may be decoded for further processing.

BACKGROUND

Data often needs to be transmitted between computing devices withoutconnecting both devices to the same computing network. For example, incertain applications, a computing network may not exist near thecomputing devices, or it may be too cumbersome (e.g., may take too long)to connect one or both of the computing devices to a nearby computingnetwork. Therefore, data may be transmitted directly from one computingdevice to another computing device.

SUMMARY

The present disclosure presents new and innovative methods and systemsfor detecting and combining audio transmissions that contain data. In afirst aspect, a method is provided comprising receiving multiple audiosignals detected by multiple receivers and detecting a first audiotransmission in a first subset of the audio signals, the first subset ofthe audio signals being received by a first subset of the receivers, andthe first audio transmission containing first data for transmissionusing the first audio transmission. The method may further includeidentifying a second subset of the audio signals that correspond to asecond subset of the receivers with strongest magnitudes of the firstaudio transmission and combining portions of the second subset of theaudio signals corresponding to at least a first portion of the firstaudio transmission to generate a first combined audio transmissionsignal. The method may still further include decoding the at least aportion of the first combined audio transmission signal to extract thefirst data.

In a second aspect according to the first aspect, the method furthercomprises detecting a second audio transmission in a third subset of theaudio signals, the third subset of the audio signals being received by athird subset of the receivers, and the second audio transmissioncontaining second data for transmission using the second audiotransmission and identifying a fourth subset of the audio signalscorresponding to a fourth subset of the receivers with strongestmagnitudes of the second audio transmission. The method may stillfurther include combining portions of the fourth subset of the audiosignals corresponding to at least a first portion of the second audiotransmission to generate a second combined audio transmission signal anddecoding the at least a portion of the second combined audiotransmission signal to extract the second data.

In a third aspect according to the second aspect, the second audiotransmission is detected within one second of detecting the first audiotransmission.

In a fourth aspect according to any of the second and third aspects, thefirst audio transmission and the second audio transmission aretransmitted using the same audio carrier channel.

In a fifth aspect according to any of the second through fourth aspects,the fourth subset of the receivers does not include any of the secondsubset of the receivers.

In a sixth aspect according to any of the first through fifth aspects,identifying the second subset of the receivers further comprisesdetermining, for each audio signal of the first subset of the audiosignals, a time difference between when the first audio transmission isdetected earliest in a first audio signal of the first subset of theaudio signals and when the first audio transmission is detected in theremaining audio signals of the first subset of the audio signals.Identifying the second of the receivers may still further compriseidentifying the second subset of the audio signals as comprising thefirst audio signal and the audio signals of the first subset of theaudio signals with the shortest time differences.

In a seventh aspect according to the sixth aspect, combining theportions of the second subset of the audio signals comprises adjustingtiming information of each audio signal of the second subset of theaudio signals based on a time difference of the audio signal.

In an eighth aspect according to any of the sixth and seventh aspects,the second subset of the audio signals are identified as the audiosignals of the first subset of the audio signals with time differencesless than a predetermined threshold.

In a ninth aspect according to the eighth aspect, the predeterminedthreshold is less than or equal to 50 milliseconds.

In a tenth aspect according to any of the first through ninth aspects,combining the portions of the second subset of the audio signals furthercomprises identifying, for each audio signal of the second subset of theaudio signals, the portion of the audio signal corresponding to thefirst portion of the first audio transmission.

In an eleventh aspect according to any of the first through tenthaspects, detecting the first audio transmission in the first subset ofthe audio signals comprises detecting a second portion of the firstaudio transmission in the first subset of the audio signals, the firstportion of the first audio transmission including a predetermined audiosequence.

In a twelfth aspect according to the eleventh aspect, the second portionof the first audio transmission is a preamble indicating the start ofthe first audio transmission.

In a thirteenth aspect, a system is provided that includes a processorand a memory. The memory may store instructions which, when executed bythe processor, cause the processor to receive multiple audio signalsdetected by multiple receivers and detect a first audio transmission ina first subset of the audio signals, the first subset of the audiosignals being received by a first subset of the receivers, and the firstaudio transmission containing first data for transmission using thefirst audio transmission. The memory may store further instructionswhich, when executed by the processor, cause the processor to identify asecond subset of the audio signals that correspond to a second subset ofthe receivers with strongest magnitudes of the first audio transmissionand combine portions of the second subset of the audio signalscorresponding to at least a first portion of the first audiotransmission to generate a first combined audio transmission signal. Themay store still further instructions which, when executed by theprocessor, cause the processor to decode the at least a portion of thefirst combined audio transmission signal to extract the first data.

In a fourteenth aspect according to the thirteenth aspect, the memorystores further instructions which, when executed by the processor, causethe processor to detect a second audio transmission in a third subset ofthe audio signals, the third subset of the audio signals being receivedby a third subset of the receivers, and the second audio transmissioncontaining second data for transmission using the second audiotransmission and identify a fourth subset of the audio signalscorresponding to a fourth subset of the receivers with strongestmagnitudes of the second audio transmission. The may store still furtherinstructions which, when executed by the processor, cause the processorto combine portions of the fourth subset of the audio signalscorresponding to at least a first portion of the second audiotransmission to generate a second combined audio transmission signal anddecode the at least a portion of the second combined audio transmissionsignal to extract the second data.

In a fifteenth aspect according to the fourteenth aspect, the firstaudio transmission and the second audio transmission are transmittedusing the same audio carrier channel.

In a sixteenth aspect according to any of the fourteenth and fifteenthaspects, the fourth subset of the receivers does not include any of thesecond subset of the receivers.

In a seventeenth aspect according to any of the thirteenth throughsixteenth aspects, the memory stores further instructions which, whenexecuted by the processor while identifying the second subset of thereceivers, cause the processor to determine, for each audio signal ofthe first subset of the audio signals, a time difference between whenthe first audio transmission is detected earliest in a first audiosignal of the first subset of the audio signals and when the first audiotransmission is detected in the remaining audio signals of the firstsubset of the audio signals and identify the second subset of the audiosignals as comprising the first audio signal and the audio signals ofthe first subset of the audio signals with the shortest timedifferences.

In an eighteenth aspect according to the seventeenth aspect, the secondsubset of the audio signals are identified as the audio signals of thefirst subset of the audio signals with time differences less than apredetermined threshold.

In a nineteenth aspect according to any of the thirteenth througheighteenth aspects, the memory stores further instructions which, whenexecuted by the processor while combining the portions of the secondsubset of the audio signals, cause the processor to identify, for eachaudio signal of the second subset of the audio signals, the portion ofthe audio signal corresponding to the first portion of the first audiotransmission.

In a twentieth aspect, a non-transitory, computer-readable medium isprovided storing instructions which, when executed by a processor, causethe processor to receive multiple audio signals detected by multiplereceivers and detect a first audio transmission in a first subset of theaudio signals, the first subset of the audio signals being received by afirst subset of the receivers, and the first audio transmissioncontaining first data for transmission using the first audiotransmission. The non-transitory, computer-readable medium may storefurther instructions which, when executed by a processor, cause theprocessor to identify a second subset of the audio signals thatcorrespond to a second subset of the receivers with strongest magnitudesof the first audio transmission and combine portions of the secondsubset of the audio signals corresponding to at least a first portion ofthe first audio transmission to generate a first combined audiotransmission signal. The non-transitory, computer-readable medium maystore still further instructions which, when executed by a processor,cause the processor to decode the at least a portion of the firstcombined audio transmission signal to extract the first data.

The features and advantages described herein are not all-inclusive and,in particular, many additional features and advantages will be apparentto one of ordinary skill in the art in view of the figures anddescription. Moreover, it should be noted that the language used in thespecification has been principally selected for readability andinstructional purposes, and not to limit the scope of the disclosedsubject matter.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 illustrates a system according to an exemplary embodiment of thepresent disclosure.

FIG. 2 illustrates an audio transmission according to an exemplaryembodiment of the present disclosure.

FIGS. 3A-3B illustrate transmitter/receiver array according to anexemplary embodiment of the present disclosure.

FIG. 4 illustrates a scenario according to an exemplary embodiment ofthe present disclosure.

FIG. 5 illustrates received audio signals according to an exemplaryembodiment of the present disclosure.

FIG. 6 illustrates a system according to an exemplary embodiment of thepresent disclosure.

FIG. 7 illustrates a method according to an exemplary embodiment of thepresent disclosure.

FIG. 8 illustrates a method according to an exemplary embodiment of thepresent disclosure.

FIG. 9 illustrates a computing system according to an exemplaryembodiment of the present disclosure.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

Aspects of the present disclosure relate to identification andcombination of audio signals containing audio transmissions that areused to transmit data between computing devices. Techniques related tothose discussed in the present disclosure are also discussed in U.S.Application No. ______, filed on ______, and titled “DIRECTIONALDETECTION AND ACKNOWLEDGMENT OF AUDIO-BASED DATA TRANSMISSIONS” and U.S.Application No. ______, filed on ______, and titled “AUDIOTRANSMITTER/RECEIVER ARRAY,” the disclosure of which is hereinincorporated by reference.

Various techniques and systems exist to exchange data between computingdevices without connecting to the same communication network. Forexample, the computing devices may transmit data via directcommunication links between the devices. In particular, data may betransmitted according to one or more direct wireless communicationprotocols, such as Bluetooth®, ZigBee®, Z-Wave®, Radio-FrequencyIdentification (RFID), Near Field Communication (NFC), and W-Fi® (e.g.,direct Wi-Fi links between the computing devices). However, each ofthese protocols relies on data transmission using electromagnetic wavesat various frequencies. Therefore, in certain instances (e.g., ZigBee®,Z-Wave®, RFID, and NFC), computing devices may typically requirespecialized hardware to transmit data according to these wirelesscommunication protocols. In further instances (e.g., Bluetooth®,ZigBee®, Z-Wave®, and Wi-Fi®), computing devices may typically have tobe communicatively paired in order to transmit data according to thesewireless communication protocols. Such communicative pairing can becumbersome and slow, reducing the likelihood that users associated withone or both of the computing devices will utilize the protocols totransmit data.

Therefore, there exists a need to wirelessly transmit data in a way that(i) does not require specialized hardware and (ii) does not requirecommunicative pairing prior to data transmission. One solution to thisproblem is to transmit data using audio transmissions. For example, FIG.1 illustrates a system 100 according to an exemplary embodiment of thepresent disclosure. The system 100 includes two computing devices 102,104 configured to transmit data 122, 124 using audio transmissions 114,116. In particular, each computing device 102, 104 includes atransmitter 106, 108 and a receiver 110, 112. The transmitters 106, 108may include any type of device capable of generating audio signals, suchas speakers. In certain implementations, the transmitters 106, 108 maybe implemented as a speaker built into the computing device 102, 104.For example, one or both of the computing devices may be a smart phone,tablet computer, and/or laptop with a built-in speaker that performs thefunctions of the transmitter 106, 108. In other implementations, thetransmitters 106, 108 may be implemented as a microphone external to thecomputing device 102, 104. For example, the transmitters 106, 108 may beimplemented as one or more speakers externally connected to thecomputing device 102, 104.

The receivers 110, 112 may include any type of device capable ofreceiving audio transmissions and converting the audio transmissionsinto signals (e.g., digital signals) capable of being processed by aprocessor of the computing device, such as microphones. In otherimplementations, the receivers 110, 112 may be implemented as amicrophone built into the computing device 102, 104. For example, one orboth of the computing devices may be a smartphone, tablet computer,and/or laptop with a built-in microphone that performs the functions ofthe receivers 110, 112. In other implementations, the receivers 110, 112may be implemented as a microphone external to the computing device 102,104. For example, the receivers 110, 112 may be implemented as one ormore microphones external to the computing device 102, 104 that arecommunicatively coupled to the computing device 102, 104. In certainimplementations, the transmitter 106, 108 and receiver 110, 112 may beimplemented as a single device connected to the computing device. Forexample, the transmitter 106, 108 and receiver 110, 112 may beimplemented as a single device containing at least one speaker and atleast one microphone that is communicatively coupled to the computingdevice 102, 104.

In certain implementations, one or both of the computing devices 102,104 may include multiple transmitters 106, 108 and/or multiple receivers110, 112. For example, the computing device 104 may include multipletransmitters 108 and multiple receivers 112 arranged in multiplelocations so that the computing device 104 can communicate with thecomputing device 102 in multiple locations (e.g., when the computingdevice 102 is located near at least one of the multiple transmitters 108and multiple receivers 112. In additional or alternativeimplementations, one or both of the computing devices 102, 104 mayinclude multiple transmitters 106, 108 and/or multiple receivers 110,112 in a single location. For example, the computing device 104 mayinclude multiple transmitters 108 and multiple receivers 112 located ata single location. The multiple transmitters 108 and multiple receivers112 may be arranged to improve coverage and/or signal quality in an areanear the single location. For example, the multiple transmitters 108 andmultiple receivers 112 may be arranged in an array or otherconfiguration so that other computing devices 102 receive audiotransmissions 114, 116 of similar quality regardless of their locationrelative to the transmitters 108 and receivers 112 (e.g., regardless ofthe location of the computing devices 102 within a service area of thetransmitters 108 and receivers 112).

The computing devices 102, 104 may generate audio transmissions 114, 116to transmit data 122, 124 to one another. For example, the computingdevices 102 may generate one or more audio transmissions 114 to transmitdata 122 from the computing device 102 to the computing device 104. Asanother example, the computing device 104 may generate one or more audiotransmissions 116 to transmit data 124 from the computing device 104 tothe computing device 102. In particular, the computing devices 102, 104may create one or more packets 118, 120 based on the data 122, 124(e.g., including a portion of the data 122, 124) for transmission usingthe audio transmissions 114, 116. To generate the audio transmission114, 116, the computing devices 102, 104 may modulate the packets 118,120 onto an audio carrier signal. The computing devices 102, 104 maythen transmit the audio transmission 114, 116 via the transmitter 106,108, which may then be received by the receiver 110, 112 of the othercomputing devices 102, 104. In certain instances (e.g., where the data122, 124 exceeds a predetermined threshold for the size of a packet 118,120), the data 122, 124 may be divided into multiple packets 118, 120for transmission using separate audio transmissions 114, 116.

Accordingly, by generating and transmitting audio transmissions 114, 116in this way, the computing devices 102, 104 may be able to transmit data122, 124 to one another without having to communicatively pair thecomputing devices 102, 104. Rather, a computing device 102, 104 canlisten for audio transmissions 114, 116 received via the receivers 110,112 from another computing device 102, 104 without having tocommunicatively pair with the other computing device 102, 104. Also,because these techniques can utilize conventional computer hardware likespeakers and microphones, the computing devices 102, 104 do not requirespecialized hardware to transmit the data 122, 124.

However, transmitting data by audio transmissions includes otherlimitations. In particular, audio transmissions are susceptible to typesof interference and/or distortions that are either not present or lessprevalent for data transmissions by electromagnetic signals. Forinstance, different frequencies utilized by the audio transmission mayattenuate differently, causing certain frequencies to appear larger inmagnitude when received by another computing device. Further, overlonger distances, the magnitude of the audio transmission when receivedmay decrease, reducing the signal-to-noise ratio for the received audiotransmission.

Therefore, there exists a need to account for these types ofinterference with audio transmissions. One solution to this problem isto detect audio transmissions with multiple receivers and to combine theaudio signals from the multiple receivers. Certain types of interference(e.g., environmental noise or disruptions) may tend to be uncorrelatedbetween different receivers (e.g., received at different magnitudes,received at different times, and/or not received at certain receivers).By contrast, the contents of the audio transmission received by themultiple receivers may be constant and therefore correlated between thedifferent receivers (e.g., received in the same sequence at slightlydifferent times). Therefore, combining the audio signals from themultiple receivers may increase the relative magnitude of the correlatedportions of the audio signals (e.g., the audio transmission) whiledecreasing the relative magnitude of the uncorrelated portions of theaudio signals (e.g., sources of interference). Accordingly, the combinedaudio signal may have a higher signal-to-noise ratio than the individualaudio signals received by the multiple receivers. However, the audiotransmission may not be received by all receivers connected to aparticular computing device. Therefore, before combining the audiosignals, the receivers that received the audio transmission may need tobe identified. Also, receivers with lower magnitudes of the audiotransmission may be more likely to include noise or other inaccuratesymbols (e.g., other audio transmissions) which may reduce thesignal-to-noise ratio of the combined audio signals. Therefore, thereceivers with the largest magnitude of the audio transmission may needto be identified prior to combining the audio signals.

FIG. 2 illustrates an audio transmission 200 according to an exemplaryembodiment of the present disclosure. The audio transmission 200 may beused to transmit data from one computing device to another computingdevice. For example, referring to FIG. 1, the audio transmission 200 maybe an example implementation of the audio transmissions 114, 116generated by the computing devices 102, 104. The audio transmission 200includes multiple symbols 1-24, which may correspond to discrete timeperiods within the audio transmission 200. For example, each symbol 1-24may correspond to 2 ms of the audio transmission 200. In other examples,the symbols 1-24 may correspond to other time periods within the audiotransmission 200 (e.g., 1 ms, 10 ms, 20 ms, 40 ms). Each symbol 1-24 mayinclude one or more frequencies used to encode information within theaudio transmission 200. For example, the one or more frequencies may bemodulated in order to encode information in the audio transmission 200(e.g., certain frequencies may correspond to certain pieces ofinformation). In another example, the phases of the frequencies may beadditionally or alternatively be modulated in order to encodeinformation in the audio transmission 200 (e.g., certain phasedifferences from a reference signal may correspond to certain pieces ofinformation).

In particular, certain symbols 1-24 may correspond to particular typesof information within the audio transmission 200. For example, thesymbols 1-6 may correspond to a preamble 202 and symbols 7-24 maycorrespond to a payload 204. The preamble 202 may contain predeterminedfrequencies produced at predetermined points of time (e.g., according toa frequency pattern). In certain implementations, the preamble 202 mayadditionally or alternatively contain frequencies (e.g., a particularpredetermined frequency) whose phase differences are altered bypredetermined amounts at predetermined points of time (e.g., accordingto a phase difference pattern). The preamble 202 may be used to identifythe audio transmission 200 to a computing device receiving the audiotransmission 200. For example, a receiver of the computing devicereceiving audio transmissions such as the audio transmission 200 mayalso receive other types of audio data (e.g., audio data fromenvironmental noises and/or audio interference). The preamble 202 maytherefore be configured to identify audio data corresponding to theaudio transmission 200 when received by the receiver of the computingdevice. In particular, the computing device may be configured to analyzeincoming audio data from the receiver and to disregard audio data thatdoes not include the preamble 202. Upon detecting the preamble 202, thecomputing device may begin receiving and processing the audiotransmission 200. The preamble may also be used to align processing ofthe audio transmission 200 with the symbols 1-24 of the audiotransmission 200. In particular, by indicating the beginning of theaudio transmission 200, the preamble 202 may enable the computing devicereceiving the audio transmission 200 to properly align its processing ofthe audio transmission with the symbols 1-24.

The payload 204 may include the data intended for transmission, alongwith other information enabling proper processing of the data intendedfor transmission. In particular, the packets 208 may contain datadesired for transmission by the computing device generating the audiotransmission 200. For example, and referring to FIG. 1, the packet 208may correspond to the packets 118, 120 which may contain all or part ofthe data 122, 124. The header 206 may include additional information forrelevant processing of data contained within the packet 208. Forexample, the header 206 may include routing information for a finaldestination of the data (e.g., a server external to the computing devicereceiving the audio transmission 200). The header 206 may also indicatean originating source of the data (e.g., an identifier of the computingdevice transmitting the audio transmission 200 and/or a user associatedwith the computing device transmitting the audio transmission 200).

The preamble 202 and the payload 204 may be modulated to form the audiotransmission 200 using similar encoding strategies (e.g., similarencoding frequencies and/or phase differences). Accordingly, thepreamble 202 and the payload 204 may be susceptible to similar types ofinterference (e.g., similar types of frequency-dependent attenuationand/or similar types of frequency-dependent delays). Proper extractionof the payload 204 from the audio transmission 200 may rely on properdemodulation of the payload 204 from an audio carrier signal. Therefore,to accurately receive the payload 204, the computing device receivingthe audio transmission 200 must account for the interference.

Symbols 1-24 and their configuration depicted in FIG. 2 are merelyexemplary. It should be understood that certain implementations of theaudio transmission 200 may use more or fewer symbols, and that one ormore of the preamble 202, the payload 204, the header 206, and/or thepacket 208 may use more or fewer symbols than those depicted and may bearranged in a different order or configuration within the audiotransmission 200.

FIGS. 3A-3B illustrate a transmitter/receiver array 300 according to anexemplary embodiment of the present disclosure. The transmitter/receiverarray 300 may be used to transmit and/or receive audio transmission 200.For example, the transmitter/receiver array 300 may be an exemplaryimplementation of at least one of the computing devices 102, 104. Thetransmitter/receiver array 300 includes eight receivers 302A-H and eighttransmitters 304 A-H. Each of the eight receivers 302A-H may beexemplary implementations of the receivers 110, 112. For example, theeight receivers 302A-H may be implemented as microphones. Each of theeight transmitters 304A-H may be exemplary implementations of thetransmitters 106, 108. For example, the eight transmitters 304A-H may beimplemented as speakers.

As depicted, the receivers 302A-H and the transmitters 304A-H arearranged to evenly cover a 360° area surrounding thetransmitter/receiver array 300. For example, the receivers 302A-H andtransmitters 304A-H are arranged so that there is approximately 45°between adjacent receivers 302A-H and adjacent transmitters 304A-H. Sucha configuration may enable the transmitter/receiver array 300 receiveaudio transmissions 200 from and transmit audio transmissions 200 inmultiple directions within a coverage area of the transmitter/receiverarray 300. For example, the transmitter/receiver array 300 may beconfigured to receive audio transmissions from multiple computingdevices in different portions of a service area.

The receivers 302A-H and the transmitters 304A-H may be mounted on asupport body 306. The support body 306 may allow thetransmitter/receiver array 300 to be positioned and configured withoutaltering the relative orientation of the receivers 302A-H and thetransmitters 304A-H. In certain implementations, the receivers 302A-Hmay be mounted such that the receivers 302A-H are separated from thetransmitters 304A-H (e.g., so that the receivers 302A-H can avoidinterference from the transmitters 304A-H). For example, the receivers302A-H may be mounted on structural members 308A-D (only a subset ofwhich are depicted in FIG. 3B) that separate the receivers 302A-H fromthe transmitters 304A-H. In certain implementations, thetransmitter/receiver array 300 may be mounted on a support element, suchas the support element 310. The support element 310 may raise thetransmitter/receiver array 300 from the ground such that thetransmitter/receiver array 300 is at a height better suited to receivingand transmitting audio transmission 200 (e.g., at or between chest andwaist height for a typical individual).

It should be appreciated that additional or alternative implementationsof the transmitter/receiver array 300 are possible. For example,alternative implementations may have more or fewer transmitters and/orreceivers and/or may have larger or smaller transmitters and/orreceivers. As another example, alternative implementations may omit oneor more of the support body 306, the structural members 308A-D, and/orthe support elements 310. As yet another example, alternativeimplementations may further include a housing surrounding thetransmitters 304A-H and/or receivers 302A-H.

FIG. 4 illustrates a scenario 400 according to an exemplary embodimentof the present disclosure. In the scenario 400, a computing device 402is transmitting an audio transmission to the transmitter/receiver array300. For example, the receivers 302A-D, 302H may receive the audiotransmission from the computing device 402. However, due to the positionof the computing device 402 relative to the transmitter/receiver array300, the receivers 302A-D, 302H are different distances away from thecomputing device 402. For example, the distance 408 between thecomputing device 402 and the receiver 302B is shorter than the distances404, 410 to the receivers 302A, 302C. The distances 406, 412 to thereceivers 302H, 302D are even longer than the distances 404, 410.Because of these differences in distance, the receivers 302A-D, 302H mayreceive the audio transmission at different times.

For example, FIG. 5 illustrates timing diagrams 500A-E of received audiosignals according to an exemplary embodiment of the present disclosure.The timing diagrams may correspond to audio signals received by thereceivers 302A-D, 302H. For example, as depicted, the timing diagram500A may correspond to the receiver 302B, the timing diagram 500B maycorrespond to the receiver 302C, the timing diagram 500C may correspondto the receiver 302A, the timing diagram 500D may correspond to thereceiver 302D, and the timing diagram 500E may correspond to thereceiver 302H.

The timing diagrams 500A-E may depict a summary of the contents of theaudio signals received by the receivers 302A-D, 302H over time. Forexample, the receivers 302A-D, 302H may regularly and/or constantlyreceive audio signals, including both audio transmissions 502 and othertypes of audio data (e.g., environmental noises or other noises). Theaudio signals may then be processed to detect audio transmissions 502(e.g., by detecting a preamble or other portion of the audiotransmission 520). Therefore, the timing diagrams 500A-E depict the timeat which the audio transmission 502 (e.g., the audio transmission fromthe computing device 402) is detected in the audio signals received fromthe receivers 302A-D, 302H. In the timing diagram 500A, the audiotransmission 502 is detected earliest in the audio signal from thereceiver 302B. In the other timing diagrams 500B-E, the audiotransmission 502 is detected at later times. In particular, the audiotransmission 502 is detected in the audio stream from the receiver 302Cat a time difference T1 after being detected in the audio stream fromthe receiver 302B. Similarly, the audio transmission 502 is detected inthe audio stream from the receiver 302A at a time difference T2 afterbeing detected in the audio stream from the receiver 302B. The audiotransmission 502 is detected in the audio stream from the receiver 302Dat a time difference T3 after being detected in the audio stream fromthe receiver 302B. Also, the audio transmission 502 is detected in theaudio stream from the receiver 302H at a time difference T4 after beingdetected in the audio stream from the receiver 302B.

The time differences T1-T4 may depend on the difference in distance 404,406, 408, 410, 412 between the computing device 402 and thecorresponding receiver 302A-D, 302H from which an audio stream isreceived. For example, the receiver 302B is closest to the computingdevice 402 and the audio transmission 502 may therefore be detectedfirst in the audio stream from the receiver 302B. Relatedly, thereceiver 302C is the next closest receiver, so the audio transmission502 is detected next in the audio transmission 502 at the timedifference T1. Further, because the receiver 302A is closer than thereceiver 302D, the time difference T2 is shorter than the timedifference T3. Also, because the receiver 302D is closer than the 302H,the time difference T3 is shorter than the time difference T4.

FIG. 6 illustrates a system 600 according to an exemplary embodiment ofthe present disclosure. The system 600 may be configured to receive andprocess audio signals from multiple receivers in order to identify andcombine audio signals with the strongest magnitude of an audiotransmission. The system includes a computing device 610 and audiosignals 602A-H. The audio signals 602A-H may originate from multiplereceivers. For example, the computing device 610 may be communicativelycoupled to multiple receivers, such as receivers 302A-H of thetransmitter/receiver array 300 and may receive the audio signals 602A-Hfrom the receivers 302A-H. The audio signals 602A-E contain an audiotransmission 604. The audio transmission 604 may be received fromanother computing device, such as the computing device 402. For example,a subset of the receivers may receive the audio transmission 604, as inthe scenario 400. The audio signals 602A-E originating from the subsetof receivers may therefore contain the audio transmission 604. The audiotransmission 604 may contain data 606 and a predetermined portion 608.For example, as discussed above in connection with the audiotransmission 200, the audio transmission 604 may store data 606 in apayload 204 of the audio transmission 604, such as the packet 208. Thepredetermined portion 608 may correspond to a known, predeterminedsequence. For example, the predetermined portion 608 may include apredetermined sequence of symbols (e.g., symbols containing apredetermined sequence of frequencies and/or phase differences). Thepredetermined portion 608 may identify the audio transmission 604 to thecomputing device 610. For example, the predetermined portion 608 maycorrespond to a preamble of the audio transmission 604, such as thepreamble 202. The computing device 610 may therefore receive the audiosignals 602A-H and may analyze the audio signals 602A-H for thepredetermined portion 608. For example, the computing device 610 may, onan ongoing basis, compare a portion (e.g., a rolling buffer) of theincoming audio signals 602A-H to an expected sequence of audio thatcorresponds to the predetermined portion 608. In particular, thecomputing device 610 may using a match filter to compare a movingaverage of the incoming audio signals 602A-H to the expected sequence ofaudio and may compute a match magnitude indicating a magnitude orproportion of the moving average that matches the expected sequence ofaudio. In such implementations, the computing device 610 may determinethat the audio signal 602A-E includes the predetermined portion 608 ifthe match magnitude exceeds a predetermined threshold. Upon detectingthe predetermined portion 608 in one of the audio signals 602A-E, thecomputing device 610 may determine that the audio signal 602A-E includesan audio transmission 604.

The computing device 610 may determine a detection time 612A-E for eachaudio signal 602A-E in which an audio transmission 604 is detected. Thedetection time 612A-E may indicate the time at which the detected audiotransmission 604 was received by a receiver corresponding to the audiosignal 602A-E in which the audio transmission 604 was received. Forexample, the detection time 612A-E may be determined as the startingtime of the audio transmission 604 in each of the audio signals 602A-E.As explained above, depending on the relative positioning of thereceivers corresponding to the audio signals 602A-E, the detection times612A-E of the audio transmission 604 may differ for the audio signals602A-E. The computing device 610 may compute time differences 614A-D forat least a subset of the audio signals 602A-E in which the audiotransmission 604 is detected. For example, the detection time 612A mayindicate that the audio transmission 604 was detected in the audiosignal 602A earlier than being detected in the audio signals 602B-E. Thecomputing device 610 may therefore calculate time differences 614A-D forthe audio signals 602B-E with later detection times 612B-E. For example,as discussed above in connection with FIG. 4, the time differences614A-D may be calculated as the difference between the earliestdetection time 612A of the audio transmission 604 and the laterdetection times 612B-E corresponding to the audio signals 602B-E. As aspecific example, the time difference 614A associated with the audiosignal 602B may be calculated as the difference between the detectiontime 612A and the detection time 612B. Similarly, the time difference614B associated with the audio signal 602C may be calculated as thedifference between the detection time 612A and the detection time 612C.The time difference 614C associated with the audio signal 602D may becalculated as the difference between the detection time 612A and thedetection time 612D. Further, the time difference 614D associated withthe audio signal 602E may be calculated as the difference between thedetection time 612A and the detection time 612E.

The computing device 610 may also determine detection magnitudes 620A-Efor the audio signals 602A-E in which the audio transmission 604 isdetected. The detection magnitudes 620A-E may measure a magnitude of theaudio transmission 604 within the audio signal 602A-E. For example, thedetection magnitudes 620A-E may measure a predicted or expectedmagnitude of the audio transmission 604 within the audio signals 602A-E.As explained above, in certain implementations, the computing device 610may detect the predetermined portion 608 by calculating a matchmagnitude for the audio signals 602A-E. In such implementations, thedetection magnitude 620A-E may be determined as the match magnitude forthe corresponding audio signal 602A-E (e.g., a maximum magnitude of thematch magnitude). In additional or alternative implementations, thedetection magnitude 620A-E may be determined using other magnitudemeasure, such as a signal-to-noise ratio for the audio transmission 604in the audio signals 602A-E and a root-mean-square magnitude of theportions of the audio signals 602A-E that contain the audiotransmission.

The computing device 610 may be configured to identify a detection group616 that includes the audio signals 602A-C with the strongest magnitudeof the audio transmission 604. In certain implementations, the detectionmagnitudes 620A-E may be utilized to identify the audio signals 602A-Cincluded in the detection group 616. For example, the audio signals602A-C included in the detection group 616 may be identified as theaudio signals 602A-C with a detection magnitude 620A-C that exceeds acertain, predetermined threshold. As another example, the computingdevice 610 may identify the audio signal containing the largestmagnitude of the audio transmission and may identify the second subsetof the audio signals as the audio signal containing the largestmagnitude of the audio transmission and any audio signals containingmagnitudes of the audio transmission that exceed the predeterminedthreshold (e.g., 50%, 80%, 90% of the largest magnitude of the audiotransmission). In additional or alternative implementations, the audiosignals with the strongest magnitude may be identified as apredetermined number of audio signals (e.g., one audio signal, threeaudio signals, five audio signals) with the largest detection magnitudes620A-C. As a specific example, the detection magnitudes 620A-C mayexceed the predetermined threshold and the audio signals 602A-C maytherefore be included within the detection group 616.

In additional or alternative implementations, the time differences614A-D may be utilized to identify the audio signals 602A-C includedwithin the detection group 616. For example, the audio signals 602A-Cincluded in the detection group 616 may be identified as receiversassociated with a time difference 614A-D below a predeterminedthreshold. The predetermined threshold may be selected to ensure thatonly receivers located closely together are identified as the audiosignals 602A-C with the largest magnitude of the audio transmission 604and/or to ensure that audio signals including other audio transmissionsor reflections of the audio transmission 640 are not included. Forexample, the predetermined threshold may be selected to be 40 ms,although other implementations are possible (e.g., 20 ms, 50 ms, 100ms). As a specific example, the audio signals 602A-E may, in certaininstances, each have detection magnitudes 620A-E that exceed thepredetermined threshold for detection magnitudes. However, the audiosignal 602A may have the earliest detection time 612A and the timedifferences 614A-B for the audio signals 602B-C may be below thepredetermined threshold for time differences, while the time differences614C-D for the audio signals 602D-E may be above the predeterminedthreshold for time differences. Accordingly, the audio signals 602A-Cmay be included within the detection group 616 and the audio signals602D-E may be excluded from the detection group 616.

In certain implementations, the predetermined threshold may be adjustedto account for current operating conditions of the receivers and/or thecomputing device 610. For example, if the computing device 610 detectsthat the receivers are receiving many audio transmissions on aparticular carrier channel in addition to the audio transmission 604,the predetermined threshold may be lowered to reduce the number ofreceivers identified as closest to the source. Such a reduction in thepredetermined threshold may allow for other receivers to receiveadditional audio transmissions on the particular carrier channel withoutaffecting the subsequent processing of the audio transmission 604.Additionally, a shorter predetermined threshold may help prevent lateroccurrences of the same audio transmission (e.g., reflections of theaudio transmission 604) from being identified.

At least a portion of the audio signals 602A-C included in the detectiongroup 616 may be combined to generate the combined audio transmissionsignal 618. At least a portion of the audio signals 602A-C may then becombined to generate the combined audio transmission signal 618. In suchexamples, the portions of the audio signals 602A-C containing at least aportion of the audio transmission 604 may be combined to generate thecombined audio transmission signal 618. In certain implementations, thecomputing device 610 may combine the portions of the audio signals602A-C containing the data 606 of the audio transmission 604. In furtherimplementations, the computing device 610 may combine the portions ofthe audio signal 602A-C associated with additional or alternative partsof the audio transmission 604 (e.g., the predetermined portion 608 ofthe audio transmission 604, a header of the audio transmission 604,and/or the entire audio transmission 604). The combined audiotransmission signal 618 may then be utilized for further processing ofthe audio transmission 604, such as demodulation and/or extraction andprocessing of the data 606.

The computing device 610 may be implemented by a computing system. Forexample, although not depicted, the computing device 610 may contain aprocessor and a memory that implement at least one operational feature.For example, the memory may contain instructions which, when executed bythe processor, cause the processor to implement at least one operationalfeature of the computing device 610.

FIG. 7 illustrates a method 700 according to an exemplary embodiment ofthe present disclosure. The method 700 may be performed to receive andprocess audio signals from multiple receivers where at least a subset ofthe audio signals contain an audio transmission. The method 700 may beperformed by a computer system, such as the system 600. For example, themethod 700 may be implemented by the computing device 610. The method700 may also be implemented by a set of instructions stored on acomputer readable medium that, when executed by a processor, cause theprocessor to perform the method. For example, all or part of the method700 may be implemented by a processor and/or a memory of the computingdevice 610. Although the examples below are described with reference tothe flowchart illustrated in FIG. 7, many other methods of performingthe acts associated with FIG. 7 may be used. For example, the order ofsome of the blocks may be changed, certain blocks may be combined withother blocks, one or more of the blocks may be repeated, and some of theblocks described may be optional.

The method 700 may begin with receiving audio signals from receivers(block 702). For example, the computing device 610 may receive multipleaudio signals 602A-H from multiple receivers. The receivers may beoriented in multiple directions, such as the receivers 302A-H of thetransmitter/receiver array 300. In still further implementations, thereceivers may be located in multiple locations (e.g., multiple locationswithin a service area).

An audio transmission may then be detected in at least a subset of theaudio signals (block 704). For example, the computing device 610 maydetect an audio transmission 604 in at least a subset of the audiosignals 602A-E. In implementations where the audio signals 602A-E arereceived from multiple receivers, a subset of the receivers may receivean audio transmission 604 from a source, such as the computing device402. The computing device 610 may therefore detect the audiotransmission 604 in the subset of the audio signals 602A-E from thesubset of receivers that received the audio transmission 604. Asexplained above, the computing device 610 may detect the audiotransmission 604 in the subset of the audio signals 602A-E by detectinga predetermined portion 608 of the audio transmission 604, such as apreamble of the audio transmission 604. For example, the predeterminedportion 608 may correspond to an expected sequence of symbols within theaudio transmission 604 and the computing device 610 may compare theaudio signals 602A-H (e.g., a moving average of samples of symbols fromthe audio signals 602A-H) with the expected sequence of symbols using amatch filter to determine a match magnitude for the audio signals602A-H. The computing device 610 may detect the predetermined portion608 within the audio signals 602A-E as a portion of the audio signals602A-E that matches the expected sequence of symbols (e.g., a portion ofthe audio signals 602A-E that corresponds to a maximum value of thematch magnitude that exceeds a predetermined threshold). Upon detectingthe predetermined portion 608 in a subset of the audio signals 602A-E,the computing device 610 may determine that the subset of the audiosignals 602A-E contain the audio transmission 604.

Audio signals with the strongest magnitude of the audio transmission maythen be identified (block 706). For example, the computing device 610may identify a detection group 616 of audio signals 602A-C that have thestrongest magnitude of the audio transmission 604. The computing device610 may identify the audio signals 602A-C included within the detectiongroup 616 based on detection magnitudes 620A-E and/or detection times612A-E associated with the audio signals 602A-E in which an audiotransmission 604 is detected. Identifying the audio signals 602A-C withthe strongest magnitude is discussed further below in connection withFIG. 8 and the method 800.

The audio signals with the strongest magnitude of the audio transmissionmay then be combined into a combined audio transmission signal (block708). For example, the computing device 610 may combine the audiosignals 602A-C with the strongest magnitude of the audio transmission togenerate the combined audio transmission signal 618. To combine theaudio signals 602A-C, the computing device 610 may align the portions ofthe audio signals 602A-C containing at least a portion of the audiotransmission 604. For example, the audio signals 602A-C may be alignedaccording to the detection time 612A-C of the audio transmission 604within the audio signal 602A-C (e.g., such that the detection timesalign). The computing device may then add the audio signals 602A-Ctogether to form the combined audio transmission signal 618. In certainimplementations, the computing device 610 may add together all portionsof the audio signals 602A-C corresponding to the audio transmission 604.In additional or alternative implementations, the computing device 610may add together a subset of the audio signals that correspond the audiotransmission 604 (e.g., the portions of the audio signal correspondingto the data 606 within the audio transmission 604). In certainimplementations, the audio signals 602A-C with the strongest magnitudeof the audio transmission may be normalized prior to being combined intothe combined audio transmission signal 618. For example, the computingdevice 610 may normalize each audio signal 602A-C based on acorresponding maximum magnitude of the match filter for the audio signal602A-C. In particular, the computing device 610 may divide the magnitudeof the audio signals 602A-C by the corresponding maximum magnitude tonormalize the audio signals 602A-C. The computing device 610 may thenadd the audio signals that have been normalized together to generate thecombined audio transmission signal 618.

The combined audio transmission signal 618 may then be decoded (block710). For example, the computing device 610 may decode the symbols toextract information from the combined audio transmission signal 618regarding the audio transmission 604. In certain implementations, thecombined audio transmission signal 618 may be decoded by decoding thesymbols of all or part of the combined audio transmission 618. Forexample, at least the portion of the combined audio transmission signal618 corresponding to the data 606 may be decoded to extract the data 606from the audio transmission 604. By combining the audio signals frommultiple receivers into the combined audio transmission signal 618before decoding the audio transmission 604, the accuracy of the decodedinformation may be improved. For example, combining multiple audiosignals containing the audio transmission may improve thesignal-to-noise ratio of the combined audio transmission signal 618 ascompared to the audio transmission 604 in the audio signals 602A-Ebecause the contents of the audio transmission may correlate morestrongly between the audio signals 602A-E than the sources ofinterference or other disturbances correlate between the audio signals602A-E. Therefore, adding the audio signals may increase the relativemagnitude of the audio transmission 604 within the combined audiotransmission signal 618 while decreasing the relative magnitude of theinterference and/or disturbances. In this way, the method 700 mayimprove the accuracy of the combined audio transmission signal 618,thereby improving the accuracy of the data 606 extracted from thecombined audio transmission signal 618. Furthermore, by only combiningthe audio signals 602A-C with the strongest magnitude of the audiotransmission 604, the computing device 610 may additionally improve thesignal-to-noise ratio of the combined audio transmission signal 618. Forexample, audio signals with lower magnitudes of the audio transmission604 may be more likely to include interference and/or disturbances,which would reduce the signal-to-noise ratio of the combined audiotransmission signal 618. Additionally, receivers with lower magnitudesof the audio transmission 604 may be more likely to receive other audiotransmissions (e.g., audio transmissions from other sources), which mayfurther reduce the signal-to-noise ratio of the combined audiotransmission signal 618.

Further, the method 700 may be repeated to process multiple audiotransmissions, including multiple transmissions received at the same orsimilar times. For example, a first audio transmission may be receivedby a first set of receivers 302A-D, 302H from a source located closestto the receiver 302B and a second audio transmission may be received bya second set of receivers 302D-H from a source located closest to thereceiver 302F. The first and second audio transmissions may be receivedat the same or similar times (e.g., within 1 second, 0.5 seconds, 0.1seconds, 50 ms of one another). In such instances, the method 700 may beperformed once for each of the first and second audio transmissions.Where the first and second audio transmissions are received fromdifferent directions, as in the preceding example, the audio signalswith the strongest magnitude of the first audio transmission may differfrom the audio signals with the strongest magnitude of the second audiotransmission. For example, the method 700 may be performed to processthe first audio transmission to identify the audio signals 602A-C as theaudio signals with the strongest magnitude of the first audiotransmission and may be performed to process the second audiotransmission to identify audio signals 602E-G as the audio signals withthe strongest magnitude of the second audio transmission. In this way,the method 700 may enable the computing device 610 to distinguishbetween multiple audio transmissions that are received at same orsimilar times by transmitter/receiver arrays (e.g., thetransmitter/receiver array 300). In particular, because the audiosignals with the strongest magnitude of the first audio transmissiondiffer from the audio signals with the strongest magnitude of the secondaudio transmission, the combined audio signals for each set of audiosignals will contain a more accurate copy of the corresponding first orsecond audio transmission, without incorporating audio signals fromreceivers that are too close to the source of the other audiotransmission. The processing capabilities of the computing device 610and the overall communication capacities of systems that utilize audiotransmission may therefore be improved because multiple audiotransmissions may be received along the same channel as a result of theimproved directional processing of received audio transmissions enabledby the method 700.

FIG. 8 illustrates a method 800 according to an exemplary embodiment ofthe present disclosure. The method 800 may be performed to identifyaudio signals with the strongest magnitude of an audio transmission. Forexample, the method 800 may be performed to implement all or part ofblocks 704 and/or 706 of the method 700. The method 800 may beimplemented on a computer system, such as the computing device 610. Themethod 800 may also be implemented by a set of instructions stored on acomputer readable medium that, when executed by a processor, cause theprocessor to perform the method 800. For example, all or part of themethod 800 implemented by a processor and/or memory contained within thecomputing device 610. Although the examples below are described withreference to the flowchart illustrated in FIG. 8, many other methods ofperforming the acts associated with FIG. 8 may be used. For example, theorder of some of the blocks may be changed, certain blocks may becombined with other blocks, one or more of the blocks may be repeated,and some of the blocks described may be optional.

The method 800 may begin with detecting and audio transmission in afirst subset of audio signals (block 802). For example, and as discussedfurther above in connection with the method 700 and FIG. 6, thecomputing device 610 may detect the audio transmission 604 in a firstsubset of audio signals 602A-E. In certain implementations, thecomputing device 610 may detect the audio transmission 604 by detectinga predetermined portion 608 of the audio transmission 604 in the firstsubset of audio signals 602A-E.

Magnitudes may be determined for the first subset of audio signals(block 804). For example, the computing device 610 may determine adetection magnitude 620A-E for each of the first subset of audio signals602A-E. As explained above, in certain implementations, the detectionmagnitudes 620A-E may be determined as a peak value for a match filtercomparing the predetermined portion 608 of the audio transmission 604with an expected sequence of symbols.

Time differences may be determined for the first subset of audio signals(block 806). For example, the computing device 610 may determine adetection time 612A-E for each of the first subset of audio signals602A-E. The detection time 612A-E for each of the first subset of audiosignals 602A-E may indicate a time at which the audio transmission 604is detected in the audio signal 602A-E, as discussed above. Based on thedetection times 612A-E, the computing device 610 may calculate timedifferences 614A-D for the audio signals 602A-E. For example, thecomputing device 610 may identify an earliest detection time for one ofthe audio signals (e.g., the detection time 612A of the audio signal602A) and may calculate the time differences 614A-D as the differencebetween the detection times 612B-E and the earliest detection time 612A.

A second subset of audio signals may then be identified (block 808). Forexample, the computing device 610 may identify the second subset ofaudio signals for inclusion within the detection group 616. Inparticular, the computing device 610 may identify the second subset ofthe audio signals as the audio signals from the first subset of theaudio signals with the largest magnitude of the audio transmission 604.For example, and as explained above, the second subset of the audiosignals may be identified as the audio signals 602A-C with acorresponding detection magnitude 620A-C that exceeds a predeterminedthreshold. In another example, the computing device 610 may additionallyor alternatively identify the second subset of the audio signals basedat least in part on the time differences 614A-D. For example, and asdiscussed above, the computing device 610 may identify the second subsetof the audio signals as the audio signals with a time difference lessthan a predetermined threshold (e.g., 40 ms). For example, in FIG. 5,the time difference T1 may be 20 ms, the time difference T2 may be 25ms, the time difference T3 may be 45 ms, and the time difference T4 maybe 47 ms. The computing device 610 may identify the audio signals fromthe receivers 302C, 302A as part of the second subset of the audiosignals because the time differences T1, T3 are less than thepredetermined threshold of 40 ms, but may not identify the audio signalsfrom the receivers 302D, 302H as part of the second subset of the audiosignals because the time differences T3, T4 are greater than thepredetermined threshold of 40 ms. Similarly, the audio signal from thereceiver 302B may be identified as part of the second subset of audiosignals because the audio transmission 502 is detected earliest in theaudio signal from the receiver 302B. By performing the method 800, thecomputing device 610 may be able to accurately identify the audiosignals with the strongest magnitude of the audio transmission. Asexplained above in connection with the method 700, the second subset ofaudio signals may then be combined to generate the combined audiotransmission signal 618. By accurately identifying audio signals withthe strongest magnitude of the audio transmission, the method 800improves the accuracy of the combined audio transmission signal 618 andthereby improve the accuracy of subsequent processing of the audiotransmission 604. Additionally, utilizing time differences to identifythe audio signals with the strongest magnitude of the audio transmissionmay reduce the likelihood that audio signals containing different audiotransmission are identified. For example, certain received audiotransmissions may have the same or similar predetermined portion and maytherefore have similar detection magnitudes in different audio signals.Accordingly, relying solely on detection magnitudes to identify thedetection group may result in audio signals including a first audiotransmission to be combined with audio signals containing a second audiotransmission. However, the audio transmissions may be less likely tohave similar detection times. Therefore, utilizing time differences mayhelp distinguish between audio signals containing each audiotransmission, reducing the likelihood that audio signals containing thesecond transmission are included within the detection group for thefirst audio transmission, and vice-versa.

FIG. 9 illustrates an example computer system 900 that may be utilizedto implement one or more of the devices and/or components of FIG. 1,such as the computing devices 102, 104, 602. In particular embodiments,one or more computer systems 900 perform one or more steps of one ormore methods described or illustrated herein. In particular embodiments,one or more computer systems 900 provide the functionalities describedor illustrated herein. In particular embodiments, software running onone or more computer systems 900 performs one or more steps of one ormore methods described or illustrated herein or provides thefunctionalities described or illustrated herein. Particular embodimentsinclude one or more portions of one or more computer systems 900.Herein, a reference to a computer system may encompass a computingdevice, and vice versa, where appropriate. Moreover, a reference to acomputer system may encompass one or more computer systems, whereappropriate.

This disclosure contemplates any suitable number of computer systems900. This disclosure contemplates the computer system 900 taking anysuitable physical form. As example and not by way of limitation, thecomputer system 900 may be an embedded computer system, a system-on-chip(SOC), a single-board computer system (SBC) (such as, for example, acomputer-on-module (COM) or system-on-module (SOM)), a desktop computersystem, a laptop or notebook computer system, an interactive kiosk, amainframe, a mesh of computer systems, a mobile telephone, a personaldigital assistant (PDA), a server, a tablet computer system, anaugmented/virtual reality device, or a combination of two or more ofthese. Where appropriate, the computer system 900 may include one ormore computer systems 900; be unitary or distributed; span multiplelocations; span multiple machines; span multiple data centers; or residein a cloud, which may include one or more cloud components in one ormore networks. Where appropriate, one or more computer systems 900 mayperform without substantial spatial or temporal limitation one or moresteps of one or more methods described or illustrated herein. As anexample and not by way of limitation, one or more computer systems 900may perform in real time or in batch mode one or more steps of one ormore methods described or illustrated herein. One or more computersystems 900 may perform at different times or at different locations oneor more steps of one or more methods described or illustrated herein,where appropriate.

In particular embodiments, computer system 900 includes a processor 906,memory 904, storage 908, an input/output (I/O) interface 910, and acommunication interface 912. Although this disclosure describes andillustrates a particular computer system having a particular number ofparticular components in a particular arrangement, this disclosurecontemplates any suitable computer system having any suitable number ofany suitable components in any suitable arrangement.

In particular embodiments, the processor 906 includes hardware forexecuting instructions, such as those making up a computer program. Asan example and not by way of limitation, to execute instructions, theprocessor 906 may retrieve (or fetch) the instructions from an internalregister, an internal cache, memory 904, or storage 908; decode andexecute the instructions; and then write one or more results to aninternal register, internal cache, memory 904, or storage 908. Inparticular embodiments, the processor 906 may include one or moreinternal caches for data, instructions, or addresses. This disclosurecontemplates the processor 906 including any suitable number of anysuitable internal caches, where appropriate. As an example and not byway of limitation, the processor 906 may include one or more instructioncaches, one or more data caches, and one or more translation lookasidebuffers (TLBs). Instructions in the instruction caches may be copies ofinstructions in memory 904 or storage 908, and the instruction cachesmay speed up retrieval of those instructions by the processor 906. Datain the data caches may be copies of data in memory 904 or storage 908that are to be operated on by computer instructions; the results ofprevious instructions executed by the processor 906 that are accessibleto subsequent instructions or for writing to memory 904 or storage 908;or any other suitable data. The data caches may speed up read or writeoperations by the processor 906. The TLBs may speed up virtual-addresstranslation for the processor 906. In particular embodiments, processor906 may include one or more internal registers for data, instructions,or addresses. This disclosure contemplates the processor 906 includingany suitable number of any suitable internal registers, whereappropriate. Where appropriate, the processor 906 may include one ormore arithmetic logic units (ALUs), be a multi-core processor, orinclude one or more processors 906. Although this disclosure describesand illustrates a particular processor, this disclosure contemplates anysuitable processor.

In particular embodiments, the memory 904 includes main memory forstoring instructions for the processor 906 to execute or data forprocessor 906 to operate on. As an example, and not by way oflimitation, computer system 900 may load instructions from storage 908or another source (such as another computer system 900) to the memory904. The processor 906 may then load the instructions from the memory904 to an internal register or internal cache. To execute theinstructions, the processor 906 may retrieve the instructions from theinternal register or internal cache and decode them. During or afterexecution of the instructions, the processor 906 may write one or moreresults (which may be intermediate or final results) to the internalregister or internal cache. The processor 906 may then write one or moreof those results to the memory 904. In particular embodiments, theprocessor 906 executes only instructions in one or more internalregisters or internal caches or in memory 904 (as opposed to storage 908or elsewhere) and operates only on data in one or more internalregisters or internal caches or in memory 904 (as opposed to storage 908or elsewhere). One or more memory buses (which may each include anaddress bus and a data bus) may couple the processor 906 to the memory904. The bus may include one or more memory buses, as described infurther detail below. In particular embodiments, one or more memorymanagement units (MMUs) reside between the processor 906 and memory 904and facilitate accesses to the memory 904 requested by the processor906. In particular embodiments, the memory 904 includes random accessmemory (RAM). This RAM may be volatile memory, where appropriate. Whereappropriate, this RAM may be dynamic RAM (DRAM) or static RAM (SRAM).Moreover, where appropriate, this RAM may be single-ported ormulti-ported RAM. This disclosure contemplates any suitable RAM. Memory904 may include one or more memories 904, where appropriate. Althoughthis disclosure describes and illustrates particular memoryimplementations, this disclosure contemplates any suitable memoryimplementation.

In particular embodiments, the storage 908 includes mass storage fordata or instructions. As an example and not by way of limitation, thestorage 908 may include a hard disk drive (HDD), a floppy disk drive,flash memory, an optical disc, a magneto-optical disc, magnetic tape, ora Universal Serial Bus (USB) drive or a combination of two or more ofthese. The storage 908 may include removable or non-removable (or fixed)media, where appropriate. The storage 908 may be internal or external tocomputer system 900, where appropriate. In particular embodiments, thestorage 908 is non-volatile, solid-state memory. In particularembodiments, the storage 908 includes read-only memory (ROM). Whereappropriate, this ROM may be mask-programmed ROM, programmable ROM(PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM),electrically alterable ROM (EAROM), or flash memory or a combination oftwo or more of these. This disclosure contemplates mass storage 908taking any suitable physical form. The storage 908 may include one ormore storage control units facilitating communication between processor906 and storage 908, where appropriate. Where appropriate, the storage908 may include one or more storages 908. Although this disclosuredescribes and illustrates particular storage, this disclosurecontemplates any suitable storage.

In particular embodiments, the I/O Interface 910 includes hardware,software, or both, providing one or more interfaces for communicationbetween computer system 900 and one or more I/O devices. The computersystem 900 may include one or more of these I/O devices, whereappropriate. One or more of these I/O devices may enable communicationbetween a person (i.e., a user) and computer system 900. As an exampleand not by way of limitation, an I/O device may include a keyboard,keypad, microphone, monitor, screen, display panel, mouse, printer,scanner, speaker, still camera, stylus, tablet, touch screen, trackball,video camera, another suitable I/O device or a combination of two ormore of these. An I/O device may include one or more sensors. Whereappropriate, the I/O Interface 910 may include one or more device orsoftware drivers enabling processor 906 to drive one or more of theseI/O devices. The I/O interface 910 may include one or more I/Ointerfaces 910, where appropriate. Although this disclosure describesand illustrates a particular I/O interface, this disclosure contemplatesany suitable I/O interface or combination of I/O interfaces.

In particular embodiments, communication interface 912 includeshardware, software, or both providing one or more interfaces forcommunication (such as, for example, packet-based communication) betweencomputer system 900 and one or more other computer systems 900 or one ormore networks 914. As an example and not by way of limitation,communication interface 912 may include a network interface controller(NIC) or network adapter for communicating with an Ethernet or any otherwire-based network or a wireless NIC (WNIC) or wireless adapter forcommunicating with a wireless network, such as a W-Fi network. Thisdisclosure contemplates any suitable network 914 and any suitablecommunication interface 912 for the network 914. As an example and notby way of limitation, the network 914 may include one or more of an adhoc network, a personal area network (PAN), a local area network (LAN),a wide area network (WAN), a metropolitan area network (MAN), or one ormore portions of the Internet or a combination of two or more of these.One or more portions of one or more of these networks may be wired orwireless. As an example, computer system 900 may communicate with awireless PAN (WPAN) (such as, for example, a Bluetooth® WPAN), a WI-FInetwork, a WI-MAX network, a cellular telephone network (such as, forexample, a Global System for Mobile Communications (GSM) network), orany other suitable wireless network or a combination of two or more ofthese. Computer system 900 may include any suitable communicationinterface 912 for any of these networks, where appropriate.Communication interface 912 may include one or more communicationinterfaces 912, where appropriate. Although this disclosure describesand illustrates a particular communication interface implementations,this disclosure contemplates any suitable communication interfaceimplementation.

The computer system 902 may also include a bus. The bus may includehardware, software, or both and may communicatively couple thecomponents of the computer system 900 to each other. As an example andnot by way of limitation, the bus may include an Accelerated GraphicsPort (AGP) or any other graphics bus, an Enhanced Industry StandardArchitecture (EISA) bus, a front-side bus (FSB), a HYPERTRANSPORT (HT)interconnect, an Industry Standard Architecture (ISA) bus, an INFINIBANDinterconnect, a low-pin-count (LPC) bus, a memory bus, a Micro ChannelArchitecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, aPCI-Express (PCIe) bus, a serial advanced technology attachment (SATA)bus, a Video Electronics Standards Association local bus (VLB), oranother suitable bus or a combination of two or more of these buses. Thebus may include one or more buses, where appropriate. Although thisdisclosure describes and illustrates a particular bus, this disclosurecontemplates any suitable bus or interconnect.

Herein, a computer-readable non-transitory storage medium or media mayinclude one or more semiconductor-based or other types of integratedcircuits (ICs) (e.g., field-programmable gate arrays (FPGAs) orapplication-specific ICs (ASICs)), hard disk drives (HDDs), hybrid harddrives (HHDs), optical discs, optical disc drives (ODDs),magneto-optical discs, magneto-optical drives, floppy diskettes, floppydisk drives (FDDs), magnetic tapes, solid-state drives (SSDs),RAM-drives, SECURE DIGITAL cards or drives, any other suitablecomputer-readable non-transitory storage media, or any suitablecombination of two or more of these, where appropriate. Acomputer-readable non-transitory storage medium may be volatile,non-volatile, or a combination of volatile and non-volatile, whereappropriate.

Herein, “or” is inclusive and not exclusive, unless expressly indicatedotherwise or indicated otherwise by context. Therefore, herein, “A or B”means “A, B, or both,” unless expressly indicated otherwise or indicatedotherwise by context. Moreover, “and” is both joint and several, unlessexpressly indicated otherwise or indicated otherwise by context.Therefore, herein, “A and B” means “A and B, jointly or severally,”unless expressly indicated otherwise or indicated otherwise by context.

The scope of this disclosure encompasses all changes, substitutions,variations, alterations, and modifications to the example embodimentsdescribed or illustrated herein that a person having ordinary skill inthe art would comprehend. The scope of this disclosure is not limited tothe example embodiments described or illustrated herein. Moreover,although this disclosure describes and illustrates respectiveembodiments herein as including particular components, elements,features, functions, operations, or steps, any of these embodiments mayinclude any combination or permutation of any of the components,elements, features, functions, operations, or steps described orillustrated anywhere herein that a person having ordinary skill in theart would comprehend. Furthermore, reference in the appended claims toan apparatus or system or a component of an apparatus or system beingadapted to, arranged to, capable of, configured to, enabled to, operableto, or operative to perform a particular function encompasses thatapparatus, system, component, whether or not it or that particularfunction is activated, turned on, or unlocked, as long as thatapparatus, system, or component is so adapted, arranged, capable,configured, enabled, operable, or operative. Additionally, although thisdisclosure describes or illustrates particular embodiments as providingparticular advantages, particular embodiments may provide none, some, orall of these advantages.

1-20. (canceled)
 21. A method comprising: detecting a first audio transmission in a plurality of audio signals received by a plurality of receivers; identifying a subset of the plurality of audio signals that correspond to a subset of the plurality of receivers located closest to a source of the first audio transmission; combining portions the subset of the plurality of audio signals to generate a first combined audio signal; and decoding at least a portion of the first combined audio signal to process the first audio transmission.
 22. The method of claim 21, wherein the subset of the plurality of audio signals are identified as containing the largest magnitude of the first audio transmission.
 23. The method of claim 21, wherein the subset of the plurality of audio signals are identified based on when the first audio transmission is detected within the plurality of audio signals.
 24. The method of claim 23, wherein identifying the subset of the plurality of audio signals comprises: determining, for each audio signal of the subset of the audio signals, a detection time of the first audio transmission; and determining an earliest detection time of the first audio transmission, wherein the earliest detection time occurs within a first audio signal from the plurality of audio signals.
 25. The method of claim 24, wherein the first audio signal is received by a first receiver of the plurality of receivers, and wherein the subset of the plurality of audio signals is selected to include the first audio signal and audio signals from receivers adjacent to the first receiver.
 26. The method of claim 24, wherein identifying the subset of the plurality of audio signals further comprises: calculating time differences between the earliest detection time of the first audio transmission and the detection times of the first audio transmission within the first subset of the audio signals other than the first audio signal; and selecting the subset of the plurality of audio signals based on the time differences.
 27. The method of claim 26, wherein the subset of plurality of audio signals are identified to include audio signals from the plurality of audio signals with time differences less than a predetermined threshold.
 28. The method of claim 27, wherein the predetermined threshold is less than or equal to 50 milliseconds.
 29. The method of claim 21, wherein processing the first audio transmission comprises extracting data contained within the first audio transmission.
 30. The method of claim 21, wherein detecting the first audio transmission includes detecting a predetermined audio sequence in each of the plurality of audio signals.
 31. A system comprising: a processor; and a memory storing instructions which, when executed by the processor, cause the processor to: detect a first audio transmission in a plurality of audio signals received by a plurality of receivers; identify a subset of the plurality of audio signals that correspond to a subset of the plurality of receivers located closest to a source of the first audio transmission; combine portions the subset of the plurality of audio signals to generate a first combined audio signal; and decode at least a portion of the first combined audio signal to process the first audio transmission.
 32. The system of claim 31, wherein the subset of the plurality of audio signals are identified as containing the largest magnitude of the first audio transmission.
 33. The system of claim 31, wherein the subset of the plurality of audio signals are identified based on when the first audio transmission is detected within the plurality of audio signals.
 34. The system of claim 33, wherein the instructions further cause the processor, while identifying the subset of the plurality of audio signals, to: determine, for each audio signal of the subset of the audio signals, a detection time of the first audio transmission; and determine an earliest detection time of the first audio transmission, wherein the earliest detection time occurs within a first audio signal from the plurality of audio signals.
 35. The system of claim 34, wherein the first audio signal is received by a first receiver of the plurality of receivers, and wherein the subset of the plurality of audio signals is selected to include the first audio signal and audio signals from receivers adjacent to the first receiver.
 36. The system of claim 34, wherein the instructions further cause the processor, while identifying the subset of the plurality of audio signals, to: calculate time differences between the earliest detection time of the first audio transmission and the detection times of the first audio transmission within the first subset of the audio signals other than the first audio signal; and select the subset of the plurality of audio signals based on the time differences.
 37. The system of claim 36, wherein the subset of plurality of audio signals are identified to include audio signals from the plurality of audio signals with time differences less than a predetermined threshold.
 38. The system of claim 37, wherein the predetermined threshold is less than or equal to 50 milliseconds.
 39. The system of claim 31, wherein the instructions further cause the processor, while processing the first audio transmission, to extract data contained within the first audio transmission. 